Sapling.ai

Language models for enterprise applications.

Integrate the Sapling.ai API with the AWS API

Setup the Sapling.ai API trigger to run a workflow which integrates with the AWS API. Pipedream's integration platform allows you to integrate Sapling.ai and AWS remarkably fast. Free for developers.

Accept Completion with Sapling.ai API on New Scheduled Tasks from AWS API
AWS + Sapling.ai
 
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Accept Completion with Sapling.ai API on New SNS Messages from AWS API
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Accept Edit with Sapling.ai API on New Scheduled Tasks from AWS API
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Accept Edit with Sapling.ai API on New SNS Messages from AWS API
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Reject Edit with Sapling.ai API on New Scheduled Tasks from AWS API
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New Scheduled Tasks from the AWS API

Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.

 
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New SNS Messages from the AWS API

Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Pipedream source.

 
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New Inbound SES Emails from the AWS API

The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.

 
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New Deleted S3 File from the AWS API

Emit new event when a file is deleted from a S3 bucket

 
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New DynamoDB Stream Event from the AWS API

Emit new event when a DynamoDB stream receives new events. See the docs here

 
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Accept Completion with the Sapling.ai API

Have Sapling adapt its system over time. Each suggested completion has a completion UUID. You can pass this information back to Sapling to indicate the completion suggestion was helpful. See the documentation here.

 
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Accept Edit with the Sapling.ai API

Have Sapling adapt its system over time. Each suggested edit has an edit UUID. You can pass this information back to Sapling to indicate the edit suggestion was helpful. See the documentation here.

 
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Reject Edit with the Sapling.ai API

Have Sapling not recommend the same edit anymore. Each suggested edit has an edit UUID. You can pass this information back to Sapling to indicate the edit suggestion was not helpful. See the documentation here.

 
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Request Completion with the Sapling.ai API

Provides predictions of the next few characters or words given the current context in a particular editable. The predictions are based on the previous text. See the documentation here.

 
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CloudWatch Logs - Put Log Event with the AWS API

Uploads a log event to the specified log stream. See docs

 
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Overview of Sapling.ai

Sapling.ai offers an AI-driven writing assistant that can help you write better and faster by providing grammar and style suggestions. With its API, you can automate text analysis and correction processes within Pipedream workflows. By integrating Sapling.ai's API in Pipedream, you can create powerful automations that enhance writing quality across various applications, from customer support messages to content creation.

Connect Sapling.ai

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sapling_ai: {
      type: "app",
      app: "sapling_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sapling.ai/api/v1/team`,
      params: {
        key: `${this.sapling_ai.$auth.api_key}`,
      },
    })
  },
})

Overview of AWS

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Connect AWS

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import AWS from 'aws-sdk'

export default defineComponent({
  props: {
    aws: {
      type: "app",
      app: "aws",
    }
  },
  async run({steps, $}) {
    const { accessKeyId, secretAccessKey } = this.aws.$auth
    
    /* Now, pass the accessKeyId and secretAccessKey to the constructor for your desired service. For example:
    
    const dynamodb = new AWS.DynamoDB({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    */
  },
})